The Comparison some 1-Parameter Models such as Lindley (LL), Sujatha (SJ), Amarendra (AR), Devya (DV), and Shambhu (SB) Distribution for Duration Diabetes Data (YEARS)

This study examined the probability of death using survival data of individuals with diabetes. The main objective of this study was to identify the most appropriate distribution to represent the survival time of patients with diabetes from 50 individuals in the Bengkalis area using 1-parameter probability modeling, such as the Lindley (LL), Sujatha (SJ), Amarendra (AR), Devya (DV), and Shambhu (SB) distributions. The maximum likelihood method was used to estimate the parameter values of the distributions used in this study. In addition, graphical assessment (density-density plots) and numerical criteria (Akaike’s Information Criterion (AIC), -2 log likelihood (-2*l)) will be used to determine the most appropriate model. In most cases, the results obtained from the graphical assessment were consistent but differed from the numerical criteria. The model with the lowest AIC value (-2*l) is selected as most appropriate. Overall, the Amarendra and Devya distributions were identified as the most appropriate models.

Authors

Publication Details

Journal
South Asian Research Journal of Engineering and Technology
Published
2024-11-26
DOI
https://doi.org/10.36346/sarjet.2024.v06i06.002
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

The Comparison some 1-Parameter Models such as Lindley (LL), Sujatha (SJ), Amarendra (AR), Devya (DV), and Shambhu (SB) Distribution for Duration Diabetes Data (YEARS)

Ari Pani Desvina, Muhammad Marizal, Rado Yendra, Muhammad Ikbal Lubis
South Asian Research Journal of Engineering and Technology
Statistical Distribution Estimation and Applications
article

The Comparison some 1-Parameter Models such as Lindley (LL), Sujatha (SJ), Amarendra (AR), Devya (DV), and Shambhu (SB) Distribution for Duration Diabetes Data (YEARS)

Ari Pani Desvina, Muhammad Marizal, Rado Yendra, Muhammad Ikbal Lubis
article en

Abstract

This study examined the probability of death using survival data of individuals with diabetes. The main objective of this study was to identify the most appropriate distribution to represent the survival time of patients with diabetes from 50 individuals in the Bengkalis area using 1-parameter probability modeling, such as the Lindley (LL), Sujatha (SJ), Amarendra (AR), Devya (DV), and Shambhu (SB) distributions. The maximum likelihood method was used to estimate the parameter values of the distributions used in this study. In addition, graphical assessment (density-density plots) and numerical criteria (Akaike’s Information Criterion (AIC), -2 log likelihood (-2*l)) will be used to determine the most appropriate model. In most cases, the results obtained from the graphical assessment were consistent but differed from the numerical criteria. The model with the lowest AIC value (-2*l) is selected as most appropriate. Overall, the Amarendra and Devya distributions were identified as the most appropriate models.

South Asian Research Journal of Engineering and TechnologyVol. 6(06)
Good health and well-being
Openalex Percentile: Top 77%
Statistical Distribution Estimation and Applications
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